Pattern Recognition Training Courses

Pattern Recognition training is available as "onsite live training" or "remote live training". Denmark onsite live Pattern Recognition trainings can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.

NobleProg -- Your Local Training Provider

Testimonials

★★★★★

★★★★★

Ref material to use later was very good.

PAUL BEALES- Seagate Technology.

Course: Applied Machine Learning

What did you like the most about the training?:
Gave me good practice with using R to build machine learning systems for real situations. I can use this in my work straight away.
This was an excellent course. One of the best I have had.

Matthew Thomas - British Telecom

Course: Applied Machine Learning

It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more generally about the topics and how they were related. I feel the training has given me the tools to continue learning as opposed to it being a one off session where learning stops once you've finished which is very important given the scale and complexity of the topic.

Jonathan Blease

Course: Artificial Neural Networks, Machine Learning, Deep Thinking

The trainer was so knowledgeable and included areas I was interested in.

Mohamed Salama

Course: Data Mining & Machine Learning with R

The trainer very easily explained difficult and advanced topics.

Leszek K

Course: Artificial Intelligence Overview

Translated by

All like it

蒙 李

Course: Machine Learning Fundamentals with Python

Translated by

Communication with lecturers

文欣 张

Course: Artificial Neural Networks, Machine Learning, Deep Thinking

Translated by

like it all

lisa xie

Course: Artificial Neural Networks, Machine Learning, Deep Thinking

Translated by

Pattern Recognition Course Outlines

This course provides an introduction into the field of pattern recognition and machine learning. It touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.

The course is interactive and includes plenty of hands-on exercises, instructor feedback, and testing of knowledge and skills acquired.

Pattern Matching is a technique used to locate specified patterns within an image. It can be used to determine the existence of specified characteristics within a captured image, for example the expected label on a defective product in a factory line or the specified dimensions of a component. It is different from "Pattern Recognition" (which recognizes general patterns based on larger collections of related samples) in that it specifically dictates what we are looking for, then tells us whether the expected pattern exists or not.